4.8 Article

Assemblage Time Series Reveal Biodiversity Change but Not Systematic Loss

Journal

SCIENCE
Volume 344, Issue 6181, Pages 296-299

Publisher

AMER ASSOC ADVANCEMENT SCIENCE
DOI: 10.1126/science.1248484

Keywords

-

Funding

  1. European Research Council [BioTIME 250189]
  2. Scottish Funding Council (MASTS) [HR09011]
  3. Royal Society
  4. Belspo (Belgian Science Policy)
  5. NSF
  6. NOAA Marine Fisheries Service [NA11NMF4540174]
  7. Fisheries and Oceans Canada
  8. Government of Nunavut
  9. Nunavut Wildlife Management Board
  10. Nunavut Tunngavik Inc.
  11. Nunavut Emerging Fisheries Fund
  12. Makivik Corporation
  13. Smithsonian Institution
  14. Atherton Seidell Grant Program
  15. NSF [BSR-8811902, DEB 9411973, DEB 0080538, DEB 0218039, DEB 0620910, DEB 0963447]
  16. Luquillo Long-Term Ecological Research Program
  17. University of Puerto Rico
  18. NSF's Long-Term Ecological Research program and Fishery Administration Agency
  19. Council of Agriculture, Taiwan
  20. Azores Fisheries Observer Program
  21. Center of the Institute of Marine Research (IMAR) of the University of the Azores
  22. NSF's Long-Term Ecological Research Program [DEB 08-23380]
  23. U.S. Forest Service Pacific Northwest Research Station, and Oregon State University
  24. Direct For Biological Sciences
  25. Division Of Environmental Biology [0822700] Funding Source: National Science Foundation
  26. Division Of Environmental Biology
  27. Direct For Biological Sciences [0823380] Funding Source: National Science Foundation
  28. Division Of Ocean Sciences
  29. Directorate For Geosciences [1236905] Funding Source: National Science Foundation
  30. Office Of The Director
  31. EPSCoR [904155] Funding Source: National Science Foundation

Ask authors/readers for more resources

The extent to which biodiversity change in local assemblages contributes to global biodiversity loss is poorly understood. We analyzed 100 time series from biomes across Earth to ask how diversity within assemblages is changing through time. We quantified patterns of temporal alpha diversity, measured as change in local diversity, and temporal beta diversity, measured as change in community composition. Contrary to our expectations, we did not detect systematic loss of alpha diversity. However, community composition changed systematically through time, in excess of predictions from null models. Heterogeneous rates of environmental change, species range shifts associated with climate change, and biotic homogenization may explain the different patterns of temporal alpha and beta diversity. Monitoring and understanding change in species composition should be a conservation priority.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.8
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available